A stochastic optimization model for designing last Mile relief networks

Title A stochastic optimization model for designing last Mile relief networks
Author Noyan, N., Koyuncu, Burcu Balçık, Atakan, S.
Publication Date: 2016-08
Publication Place - Informs
Subject Distribution network design, Post-disaster, Humanitarian relief, Accessibility, Equity, Stochastic integer programming, L-shaped method, Branch-and-cut
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0041-1655
Record ID 56fbd061-9d5d-45c5-b590-20f4b037d21a
Library Location Industrial Engineering
Date 2016-08
Notes TÜBİTAK, TÜBA
Sample Text In this study, we introduce a distribution network design problem that determines the locations and capacities of the relief distribution points in the last mile network, while considering demand- and network-related uncertainties in the post-disaster environment. The problem addresses the critical concerns of relief organizations in designing last mile networks, which are providing accessible and equitable service to beneficiaries. We focus on two types of supply allocation policies and propose a hybrid version considering their different implications on equity and accessibility. Then, we develop a two-stage stochastic programming model that incorporates the hybrid allocation policy and achieves high levels of accessibility and equity simultaneously. We devise a branch-and-cut algorithm based on Benders decomposition to solve large problem instances in reasonable times and conduct a numerical study to demonstrate the computational effectiveness of the solution method. We also illustrate the application of our model on a case study developed based on the real-world data from the 2011 Van earthquake in Turkey.
DOI 10.1287/trsc.2015.0621
Cilt 50
View in source Özyeğin University Özyeğin University - Ottoman library catalog search
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A stochastic optimization model for designing last Mile relief networks

Author Noyan, N., Koyuncu, Burcu Balçık, Atakan, S.
Publication Date 2016-08
Publication Place - Informs
Subject Distribution network design, Post-disaster, Humanitarian relief, Accessibility, Equity, Stochastic integer programming, L-shaped method, Branch-and-cut
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0041-1655
Record ID 56fbd061-9d5d-45c5-b590-20f4b037d21a
Library Location Industrial Engineering
Date 2016-08
Notes TÜBİTAK, TÜBA
Sample Text In this study, we introduce a distribution network design problem that determines the locations and capacities of the relief distribution points in the last mile network, while considering demand- and network-related uncertainties in the post-disaster environment. The problem addresses the critical concerns of relief organizations in designing last mile networks, which are providing accessible and equitable service to beneficiaries. We focus on two types of supply allocation policies and propose a hybrid version considering their different implications on equity and accessibility. Then, we develop a two-stage stochastic programming model that incorporates the hybrid allocation policy and achieves high levels of accessibility and equity simultaneously. We devise a branch-and-cut algorithm based on Benders decomposition to solve large problem instances in reasonable times and conduct a numerical study to demonstrate the computational effectiveness of the solution method. We also illustrate the application of our model on a case study developed based on the real-world data from the 2011 Van earthquake in Turkey.
DOI 10.1287/trsc.2015.0621
Cilt 50
Özyeğin University - Ottoman library catalog search
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